Musicians, meet your (ethical) AI bandmates (www.techradar.com)

Aiode has launched a desktop AI music platform that uses “virtual musicians”—AI models explicitly trained to emulate the styles of real performers—to help producers and artists generate, edit and fine‑tune tracks. Key workflow features include targeted regeneration (you can rework a chorus, solo or specific fills without redoing the whole song), per‑section control over virtual instrumentalists, and a local, desktop‑focused pipeline that reduces latency compared with cloud‑only services. The product is positioned more as a collaborative shaping tool than a one‑click song generator: users bring a rough outline, summon virtual session players, iterate on parts, then export polished stems. What sets Aiode apart is its ethical framing: the company says training is transparent, modeled musicians will be compensated, and creators retain output rights and control—an intentional response to ongoing copyright and attribution controversies in generative music. That could attract artists wary of opaque datasets and unpaid style‑cloning. Tradeoffs remain: ethical curation may limit dataset breadth and thus model robustness, and practical artifacts like phrasing mismatches, harmonic clashes and awkward transitions are likely. Compared with cloud-first rivals (Suno, Udio), Aiode’s desktop-first, compensatory approach sacrifices some speed and breadth for artistic control and potentially cleaner legal/ethical provenance—an offering that may gain traction as the industry grapples with mass AI‑generated content and rights issues.